Case Study: Insurance Discovery Delivers $3.5M in First-Year Recoveries

How much revenue is being missed because active insurance coverage is not found soon enough? See how a large West Coast-based health system uses AI-driven Insurance Discovery to find missed coverage, reduce manual work, and improve revenue recovery.

 

Missing insurance information can happen for many reasons, including coverage changes, undisclosed insurance, or secondary plans that were not identified. And when that happens, revenue cycle teams often have to spend extra time researching accounts and trying to recover payment.

 

Insurance discovery that's powered by AI helps teams find active coverage across patient accounts, return verified and billable results, and load that information into existing workflows. Learn how in just eight months, the organization recovered $1.2 million, which was more than 5x what it had recovered with its previous tool. First-year recoveries reached $3.5 million.

 

Download the case study to learn what the organization changed and what helped drive stronger results.

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